• DocumentCode
    1786787
  • Title

    MOSAIC: Mask optimizing solution with process window aware inverse correction

  • Author

    Jhih-Rong Gao ; Xiaoqing Xu ; Yu Bei ; Pan, David Z.

  • Author_Institution
    ECE Dept., Univ. of Texas at Austin, Austin, TX, USA
  • fYear
    2014
  • fDate
    1-5 June 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Optical Proximity Correction (OPC) has been widely adopted for resolution enhancement to achieve nanolithography. However, conventional rule-based and model-based OPCs encounter severe difficulties at advanced technology nodes. Inverse Lithography Technique (ILT) that solves the inverse problem of the imaging system becomes a promising solution for OPC. In this paper, we consider simultaneously 1) the design target optimization under nominal process condition and 2) process window minimization with different process corners, and solve the mask optimization problem based on ILT. The proposed method is tested on 32nm designs released by IBM for the ICCAD 2013 contest. Our optimization is implemented in two modes, MOSAIC_fast and MOSAIC_exact, which outperform the first place winner of the ICCAD 2013 contest by 7% and 11%, respectively.
  • Keywords
    inverse problems; masks; minimisation; nanolithography; proximity effect (lithography); EPE minimization; ILT; MOSAIC_exact mode; MOSAIC_fast mode; OPC; design target optimization; edge placement error minimization; inverse lithography technique; inverse problem; mask optimization; nanolithography; optical proximity correction; process window aware inverse correction; process window minimization; resolution enhancement; size 32 nm; Abstracts; Diffraction; Lithography; Minimization; Optical diffraction; Optical harmonic generation; Optical imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Design Automation Conference (DAC), 2014 51st ACM/EDAC/IEEE
  • Conference_Location
    San Francisco, CA
  • Type

    conf

  • Filename
    6881379